google-deepmind / grid-cellsLinks
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
☆253Updated 4 years ago
Alternatives and similar repositories for grid-cells
Users that are interested in grid-cells are comparing it to the libraries listed below
Sorting:
- Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy☆35Updated 2 years ago
- Vector-based navigation using grid-like representations in artificial agents☆19Updated 6 years ago
- PYTORCH Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial ag…☆18Updated 5 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- (Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760☆25Updated 6 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆137Updated 3 years ago
- Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion☆16Updated 6 years ago
- ☆190Updated 2 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 years ago
- DeepMind Alchemy task environment: a meta-reinforcement learning benchmark☆199Updated 2 years ago
- A library for neuroscience-inspired navigation and decision making research.☆207Updated 4 months ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆154Updated 3 years ago
- A customizable framework to create maze and gridworld environments☆266Updated 6 years ago
- ☆114Updated last year
- Building Agents with Imagination: pytorch step-by-step implementation☆208Updated 6 years ago
- ☆32Updated last year
- Train self-modifying neural networks with neuromodulated plasticity☆77Updated 5 years ago
- repository for grid cell network code☆61Updated 2 years ago
- TensorFlow code for paper: Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion☆18Updated 6 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆250Updated last year
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 5 years ago
- Deep Successor Representation☆17Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Deep active inference agents using Monte-Carlo methods☆89Updated 3 years ago
- Deep Learning without Weight Transport☆35Updated 5 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆221Updated 2 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆124Updated 5 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆35Updated 3 months ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago